Technology has brought many advantages to our daily lives. Whilst those advantages have been revolutionary, technology needs to evolve further and there are still many areas to cover. This is especially true when it comes to data \u2013 the new gold. There are several technologies and frameworks that have to be developed and tested, in order to make data acquisition and processing more scalable and reliable. An emerging approach, called edge computing, addresses the problem of (high frequency) data processing and transmission in complex technological environments and makes these processes more secure and efficient.<\/p>\n
Edge computing enhances not only various industries, but also some of our daily activities. Among these are healthcare, infrastructure, manufacturing, security, finance and the energy sector.<\/p>\n
In unserem letzten Blogbeitrag<\/a>, we mentioned edge computing as one of the technologies that made Internet of Things (IoT) and especially Industrial Internet of Things (IIoT) possible today. This shows a great perspective of technological advancements. The technology arises from specific needs and these needs help other technologies to develop and advance as well.<\/p>\n \n It allows to do certain data transformations and calculations directly at the \u201cedge\u201d \u2013 meaning, directly where the data is produced. This is opposed to having centralised server\/cloud systems, where the data is gathered and all the transformations are made. Hence, edge computing can employ dozens or even hundreds of small or microscopic data-servers (edge-devices), connected through an IoT network, which execute part or even of the data-transformations on the collected data before sending the data to a central repository.<\/p>\n Edge analytics are powered by edge computing technology. Essentially, this means analysing data which is comes from IoT devices, and subsequently transferring the data to a centralised location. In addition, it promises a huge potential to increase the quality of real-time data. When combined with the Cloud, edge analytics offer better management of IoT data.<\/p>\n The main goal of edge computing is to increase efficiency of operations.<\/p>\n Computers, operating systems, applications, user interfaces and IoT devices need stronger computing power to operate efficiently. The amount of processed data is multiplying; such as the deployment of 5G which offers faster data transfer on mobile and IoT devices. Before the processing of data multiplied immensely, artificial intelligence (AI) and cloud technology were expected to automate and increase the innovation rate through the data. To meet these requirements and provide better networking and infrastructure opportunities, edge computing is much needed.<\/p>\n Even though it brings a lot of advantages, edge computing is not easy to commission and it is difficult to maintain the quality of the operation of edge computers. Businesses need to address the possible pain-points that might occur in the future in order not to avoid significant loss.<\/p>\n Sensor-Edge: <\/em>Sensoren sammeln, \u00fcbersetzen und \u00fcbertragen die Daten an die Datenplattformen oder Rechenzentren. Zeitsensible und gro\u00dfe Datenmengen profitieren vom Edge Computing, um diese Vorg\u00e4nge schneller und zuverl\u00e4ssiger durchzuf\u00fchren.<\/span><\/span><\/p>\n Cloud edge:<\/em>\u00a0The first generation of edge computing is Cloud. The prime characteristics of Cloud are being accessible through a network connection, being centralised and commonly consisting large datacentres.<\/p>\n Data centre edge:<\/em> Data centre edge serves as a crucial point as many businesses transfer their physical data centres to the Cloud. They can be commissioned for a high severity incident management or for special needs to bring flexibility.<\/p>\n Device edge:<\/em>\u00a0Each device has its specific purpose. The collected and analysed data from devices offer uninterrupted operations and advance prediction for maintenance.<\/p>\n Compute edge:<\/em> They can also be considered small data centres. They are usually commissioned next to IoT devices. Their purpose is to decrease the latency, and have a larger bandwidth and higher efficiency.<\/p>\n The way the architecture of a technology is built defines the way it works. Architectures with advanced functionalities are more complex. However, the architecture can be explained in a simplified way.<\/p>\n The starting point is the\u00a0edge devices. Generated data is transferred to\u00a0edge servers via a secure network connection that has the minimum needed bandwidth. After stored in an edge servers, the data is sent to the edge cloud\u00a0where worldwide access with an active network connection is provided. Since it is mainly used by businesses, most of them prefer to have a\u00a0hybrid cloud\u00a0that offers more flexibility.<\/p>\n When comparing edge computing and cloud computing, there are some similarities that can cause confusion and misunderstandings. It is important to understand that edge computing supports cloud computing, but they are not the same thing.<\/p>\n Cloud computing represents the usage of different services such as software, development platforms, storages, servers and other applications with an active network connection. Through the timeline, cloud technology, has invested a lot in centralised services with major data centres.<\/p>\n Edge computing supports where networking requirements or other issues cause a problem. It offers instant computing power and data analysis in contrary to centralised data centres with cloud computing . Besides the advantages of cloud computing, its lag times are practically. For businesses or operations, where every moment matters, edge computing is smoothing out these issues.<\/p>\n Edge computing and IoT technology benefit from each other and increase eachother’s efficiency. The foundations and development of edge computing reflect the need for instant processing of high-volume data generated by IoT devices. It increases the connectivity level and eliminates the latency issues. In this way, edge computing multiplies the effectiveness and trustworthiness of the data generated by IoT devices. With increased density, demand and amount of IoT devices , the need for edge computing will become more essential over time.<\/p>\nWHAT IS EDGE COMPUTING?<\/b><\/h2>\n
WHAT ARE EDGE ANALYTICS?<\/b><\/h2>\n
THE BENEFITS<\/b><\/h2>\n
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WHY IS IT NEEDED?<\/b><\/h2>\n
WHAT CHALLENGES DOES IT FACE?<\/b><\/h2>\n
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WHAT ARE THE TYPES OF EDGE COMPUTING?<\/b><\/h2>\n
THE EDGE COMPUTING ARCHITECTURE<\/b><\/h2>\n
EDGE COMPUTING VS. CLOUD COMPUTING:<\/b><\/h2>\n
EDGE COMPUTING AND IOT<\/b><\/h2>\n
HOW ANNEA FITS IN<\/b><\/h2>\n